#!/usr/bin/python

# The ChartDirector for Python module is assumed to be in "../lib"
import sys, os
sys.path.insert(0, os.path.join(os.path.abspath(sys.path[0]), "..", "lib"))

from pychartdir import *

# The data for the chart
data0 = [42, 49, NoValue, 38, 64, 56, 29, 41, 44, 57]
data1 = [65, 75, 47, 34, 42, 49, 73, NoValue, 90, 69, 66, 78]
data2 = [NoValue, NoValue, 25, 28, 38, 20, 22, NoValue, 25, 33, 30, 24]
labels = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]

# Create a XYChart object of size 600 x 360 pixels. Set background color to brushed silver, with a 2
# pixel 3D border. Use rounded corners.
c = XYChart(600, 360, brushedSilverColor(), Transparent, 2)
c.setRoundedFrame()

# Add a title using 18pt Times New Roman Bold Italic font. #Set top/bottom margins to 6 pixels.
title = c.addTitle("Product Line Global Revenue", "Times New Roman Bold Italic", 18)
title.setMargin2(0, 0, 6, 6)

# Add a separator line just under the title
c.addLine(10, title.getHeight(), c.getWidth() - 11, title.getHeight(), LineColor)

# Add a legend box where the top-center is anchored to the horizontal center of the chart, just
# under the title. Use horizontal layout and 10 points Arial Bold font, and transparent background
# and border.
legendBox = c.addLegend(c.getWidth() / 2, title.getHeight(), 0, "Arial Bold", 10)
legendBox.setAlignment(TopCenter)
legendBox.setBackground(Transparent, Transparent)

# Tentatively set the plotarea at (70, 75) and of 460 x 240 pixels in size. Use transparent border
# and black (000000) grid lines
c.setPlotArea(70, 75, 460, 240, -1, -1, Transparent, 0x000000, -1)

# Set the x axis labels
c.xAxis().setLabels(labels)

# Show the same scale on the left and right y-axes
c.syncYAxis()

# Set y-axis tick density to 30 pixels. ChartDirector auto-scaling will use this as the guideline
# when putting ticks on the y-axis.
c.yAxis().setTickDensity(30)

# Set all axes to transparent
c.xAxis().setColors(Transparent)
c.yAxis().setColors(Transparent)
c.yAxis2().setColors(Transparent)

# Set the x-axis margins to 15 pixels, so that the horizontal grid lines can extend beyond the
# leftmost and rightmost vertical grid lines
c.xAxis().setMargin(15, 15)

# Set axis label style to 8pt Arial Bold
c.xAxis().setLabelStyle("Arial Bold", 8)
c.yAxis().setLabelStyle("Arial Bold", 8)
c.yAxis2().setLabelStyle("Arial Bold", 8)

# Add axis title using 10pt Arial Bold Italic font
c.yAxis().setTitle("Revenue in USD millions", "Arial Bold Italic", 10)
c.yAxis2().setTitle("Revenue in USD millions", "Arial Bold Italic", 10)

# Add the first line. The missing data will be represented as gaps in the line (the default
# behaviour)
layer0 = c.addLineLayer2()
layer0.addDataSet(data0, 0xff0000, "Quantum Computer").setDataSymbol(GlassSphere2Shape, 11)
layer0.setLineWidth(3)

# Add the second line. The missing data will be represented by using dash lines to bridge the gap
layer1 = c.addLineLayer2()
layer1.addDataSet(data1, 0x00ff00, "Atom Synthesizer").setDataSymbol(GlassSphere2Shape, 11)
layer1.setLineWidth(3)
layer1.setGapColor(c.dashLineColor(0x00ff00))

# Add the third line. The missing data will be ignored - just join the gap with the original line
# style.
layer2 = c.addLineLayer2()
layer2.addDataSet(data2, 0xff6600, "Proton Cannon").setDataSymbol(GlassSphere2Shape, 11)
layer2.setLineWidth(3)
layer2.setGapColor(SameAsMainColor)

# layout the legend so we can get the height of the legend box
c.layoutLegend()

# Adjust the plot area size, such that the bounding box (inclusive of axes) is 15 pixels from the
# left edge, just under the legend box, 16 pixels from the right edge, and 25 pixels from the bottom
# edge.
c.packPlotArea(15, legendBox.getTopY() + legendBox.getHeight(), c.getWidth() - 16, c.getHeight(
    ) - 25)

# Output the chart
c.makeChart("missingpoints.jpg")

